使用OpenCV获取图像某点的颜色值,并设置某点的颜色

 #include  using namespace cv; vector listFiles(const char * dir); int main() { Mat img = imread("D:\\OpencvTest\\test.jpg-600"); Scalar color = img.at(150, 150);//读取原图像(150, 150)的BGR颜色值，如果是灰度图像，将Vec3b改为uchar for (size_t row=0; row<50; row++) for (size_t col=0;col(row, col) = Vec3b(color(0), color(1), color(2)); } cv::circle(img, Point(150, 150), 4, cv::Scalar(0, 0, 255));//在图像中画出特征点，2是圆的半径 imshow("img", img); waitKey(0); return 0; }

 #include #include #include #include  #include #include using namespace std; using namespace cv; //bgr图像 Mat bgr; //HSV图像 Mat hsv; //色相 int hmin = 0;//h分量取下限 int hmax = 180;//h分量取上限 int h_Max = 180; //h分量可取的最大值 //饱和度 int smin = 0;//s分量取下限 int smax = 255;//s分量取上限 int s_Max = 255;//s分量可取的最大值 //亮度 int vmin = 0;//v分量取下限 int vmax = 255;//v分量取上限 int v_Max = 255;//v分量可取的最大值 string windowName = "src"; string dstName = "dst"; //输出图像 Mat dst; //回调函数 void callBack(int, void*) { //输出图像分配内存 dst = Mat::zeros(bgr.size(), bgr.type()); Mat mask; inRange(hsv, Scalar(hmin, smin, vmin), Scalar(hmax, smax, vmax), mask); for (int r = 0; r (r, c) == 255) { dst.at(r, c)[0] = bgr.at(r, c)[0]; dst.at(r, c)[1] = bgr.at(r, c)[1]; dst.at(r, c)[2] = bgr.at(r, c)[2]; } } } imshow("mask", mask); //输出图片 imshow("dst", dst); } int main() { //输入图片 Mat srcImage = imread("C:\\Users\\Administrator\\Desktop\\0001.jpg-600"); if (!srcImage.data){ cout << "图片读取失败" << endl; system("pause"); return -1; } imshow(windowName, srcImage); bgr = srcImage; //颜色空间转换 cvtColor(bgr, hsv, COLOR_BGR2HSV); //定义输出图像的显示窗口 namedWindow(dstName, 0); //调节色相 H createTrackbar("hmin", dstName, &hmin, h_Max, callBack); createTrackbar("hmax", dstName, &hmax, h_Max, callBack); //调节饱和度 S createTrackbar("smin", dstName, &smin, s_Max, callBack); createTrackbar("smax", dstName, &smax, s_Max, callBack); //调节亮度 V createTrackbar("vmin", dstName, &vmin, v_Max, callBack); createTrackbar("vmax", dstName, &vmax, v_Max, callBack); callBack(0, 0); waitKey(0); return 0; }